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and language modalities, these models aim to improve the speed, accuracy, and efficiency of interpreting complex MRI scans, ultimately supporting better patient outcomes. The successful candidate will
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Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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to develop a research programme of your own, and apply for independent funding. The postdoctoral researcher will also have teaching opportunities if this is of interest. You will be primarily based
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by the National Institute of Health & Care Research (NIHR). The aim of this programme is
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. Excellent networking and partnership-building skills. Desirable criteria Experience working in African, Latin American, or Australian contexts, especially if fluent in Spanish or local languages relevant
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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, if they are admitted. The impact of C(E)TRs on clinical and other outcomes has not been extensively studied. The OptiCaT research programme takes a mixed methods approach. The successful applicant will have a key role
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or another scripting language of choice. The opportunity to gain experience in cryoEM. Candidates will have hands-on experience with quantitative computational approaches and a passion for biomolecular